Correlation Between CVS Health and Avrot Industries

Specify exactly 2 symbols:
Can any of the company-specific risk be diversified away by investing in both CVS Health and Avrot Industries at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining CVS Health and Avrot Industries into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CVS Health Corp and Avrot Industries, you can compare the effects of market volatilities on CVS Health and Avrot Industries and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in CVS Health with a short position of Avrot Industries. Check out your portfolio center. Please also check ongoing floating volatility patterns of CVS Health and Avrot Industries.

Diversification Opportunities for CVS Health and Avrot Industries

-0.07
  Correlation Coefficient

Good diversification

The 3 months correlation between CVS and Avrot is -0.07. Overlapping area represents the amount of risk that can be diversified away by holding CVS Health Corp and Avrot Industries in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Avrot Industries and CVS Health is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on CVS Health Corp are associated (or correlated) with Avrot Industries. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Avrot Industries has no effect on the direction of CVS Health i.e., CVS Health and Avrot Industries go up and down completely randomly.

Pair Corralation between CVS Health and Avrot Industries

Considering the 90-day investment horizon CVS Health Corp is expected to under-perform the Avrot Industries. But the stock apears to be less risky and, when comparing its historical volatility, CVS Health Corp is 1.43 times less risky than Avrot Industries. The stock trades about -0.36 of its potential returns per unit of risk. The Avrot Industries is currently generating about -0.12 of returns per unit of risk over similar time horizon. If you would invest  6,950  in Avrot Industries on January 26, 2024 and sell it today you would lose (380.00) from holding Avrot Industries or give up 5.47% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthInsignificant
Accuracy76.19%
ValuesDaily Returns

CVS Health Corp  vs.  Avrot Industries

 Performance 
       Timeline  
CVS Health Corp 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days CVS Health Corp has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of comparatively stable basic indicators, CVS Health is not utilizing all of its potentials. The recent stock price uproar, may contribute to short-horizon losses for the private investors.
Avrot Industries 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Avrot Industries has generated negative risk-adjusted returns adding no value to investors with long positions. Despite somewhat strong basic indicators, Avrot Industries is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

CVS Health and Avrot Industries Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with CVS Health and Avrot Industries

The main advantage of trading using opposite CVS Health and Avrot Industries positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CVS Health position performs unexpectedly, Avrot Industries can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Avrot Industries will offset losses from the drop in Avrot Industries' long position.
The idea behind CVS Health Corp and Avrot Industries pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.
Check out your portfolio center.
Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.

Other Complementary Tools

Correlation Analysis
Reduce portfolio risk simply by holding instruments which are not perfectly correlated
My Watchlist Analysis
Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like
Portfolio File Import
Quickly import all of your third-party portfolios from your local drive in csv format
Portfolio Center
All portfolio management and optimization tools to improve performance of your portfolios
Portfolio Anywhere
Track or share privately all of your investments from the convenience of any device
Options Analysis
Analyze and evaluate options and option chains as a potential hedge for your portfolios
USA ETFs
Find actively traded Exchange Traded Funds (ETF) in USA
Sectors
List of equity sectors categorizing publicly traded companies based on their primary business activities
Global Correlations
Find global opportunities by holding instruments from different markets
Watchlist Optimization
Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm